For: | Rahmani Katigari M, Ayatollahi H, Malek M, Kamkar Haghighi M. Fuzzy expert system for diagnosing diabetic neuropathy. World J Diabetes 2017; 8(2): 80-88 [PMID: 28265346 DOI: 10.4239/wjd.v8.i2.80] |
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URL: | https://www.wjgnet.com/1948-9358/full/v8/i2/80.htm |
Number | Citing Articles |
1 |
Tahere Talebi Azad Boni, Haleh Ayatollahi, Mostafa Langarizadeh. A Clinical Decision Support System for Assessing the Risk of Cardiovascular Diseases in Diabetic Hemodialysis Patients. Current Diabetes Reviews 2020; 16(3): 262 doi: 10.2174/1573399815666190531100012
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2 |
Danijela Tasić, Katarina Đorđević, Slobodanka Galović, Draško Furundžić, Zorica Dimitrijević, Sonja Radenković. Is It Possible to Analyze Kidney Functions, Electrolytes and Volemia Using Artificial Intelligence?. Diagnostics 2022; 12(12): 3131 doi: 10.3390/diagnostics12123131
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3 |
Avinash Sharma, K.D.V. Prasad, Sadashiva V. Chakrasali, Dankan Gowda V, Chanakya Kumar, Abhay Chaturvedi, A. Azhagu Jaisudhan Pazhani. Computer vision based healthcare system for identification of diabetes & its types using AI. Measurement: Sensors 2023; 27: 100751 doi: 10.1016/j.measen.2023.100751
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4 |
Juan Li, Jin Huang, Lanbo Zheng, Xia Li. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect. Frontiers in Public Health 2020; 8 doi: 10.3389/fpubh.2020.00173
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5 |
B.V. Baiju, D. John Aravindhar. Disease Influence Measure Based Diabetic Prediction with Medical Data Set Using Data Mining. 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) 2019; : 1 doi: 10.1109/ICIICT1.2019.8741452
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6 |
Negar Asaad Sajadi, Hossein Mahjub, Shiva Borzouei, Maryam Farhadian. Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifier. Koomesh Journal 2020; 22(1): 107 doi: 10.29252/koomesh.22.1.107
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7 |
Gopal Bhagwan Khodve, Sugato Banerjee. Artificial Intelligence in Efficient Diabetes Care. Current Diabetes Reviews 2023; 19(9) doi: 10.2174/1573399819666220905163940
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8 |
Aditi Kulkarni, Archana R Thool, Sachin Daigavane. Understanding the Clinical Relationship Between Diabetic Retinopathy, Nephropathy, and Neuropathy: A Comprehensive Review. Cureus 2024; doi: 10.7759/cureus.56674
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9 |
German Villavicencio Villanueva, Rolando Javier Berru Beltran, Romulo Rogery Vargas Garcia. Software Applications in the Diagnosis of Chronic Diseases: A Systematic Review Across a 10-year Period. 2021 IEEE Engineering International Research Conference (EIRCON) 2021; : 1 doi: 10.1109/EIRCON52903.2021.9613537
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10 |
Md Altab Hossin, Md Safiqul Islam, Sani Abubakar Hassan, Chiagoziem Chima Ukwuoma, Most. Miftahul Jannat Nuri, Md. Tofael Alam Siddiquee. Artificial Intelligence: A Promising Prospect for Better Management of Diabetic Patients. 2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD) 2022; : 470 doi: 10.1109/ICAIBD55127.2022.9820277
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11 |
Kanyarat Bussaban, Phanu Waraporn, Pattarapan Roonrakwit, Chanyapat Sangsuwan, Kunyanuth Kularbphettong. Development of a healthcare monitoring diabetes mobile application for community. 2022 International Conference on Computational Science and Computational Intelligence (CSCI) 2022; : 1812 doi: 10.1109/CSCI58124.2022.00323
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12 |
Olatunji Mumini Omisore, Bolanle Adefowoke Ojokoh, Asegunoluwa Eunice Babalola, Tobore Igbe, Yetunde Folajimi, Zedong Nie, Lei Wang. An affective learning-based system for diagnosis and personalized management of diabetes mellitus. Future Generation Computer Systems 2021; 117: 273 doi: 10.1016/j.future.2020.10.035
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13 |
Rasha Muthana, Nora Ahmed, Asaad Al shareefi. The Recent Studies Utilizing Computer Technologies for Covid 19 Transmission, Diagnosis and Infection Control. Journal of Physics: Conference Series 2021; 1999(1): 012122 doi: 10.1088/1742-6596/1999/1/012122
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14 |
Bitan Pratihar, Madhusree Kundu. Proceedings of 2019 IEEE Region 10 Symposium (TENSYMP) Classification and Prediction of Cardiovascular Autonomic Neuropathy Severity Using Fuzzy Logic-Based Expert System. 2019 IEEE Region 10 Symposium (TENSYMP) 2019; : 692 doi: 10.1109/TENSYMP46218.2019.8971285
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15 |
Thomas Wojda, Carlie Hoffman, Jeffrey Jackson, Traci Conti, John Maier. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1. Artificial Intelligence 2023; 19 doi: 10.5772/intechopen.111498
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16 |
Irene Dankwa-Mullan, Marc Rivo, Marisol Sepulveda, Yoonyoung Park, Jane Snowdon, Kyu Rhee. Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here. Population Health Management 2019; 22(3): 229 doi: 10.1089/pop.2018.0129
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17 |
Daniella Silva Oggiam, Juliana Vallim Jorgetto, Guilherme Luiz Chinini, Denise Myuki Kusahara, Mônica Antar Gamba. Distal Symmetric Polyneuropathy Pain in Diabetes Mellitus. Aquichan 2021; 21(3): 1 doi: 10.5294/aqui.2021.21.3.7
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18 |
Nureni Ayofe Azeez, Michael Aja Okwe, Jonathan Oluranti, Sanjay Misra, Ravin Ahuja. Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems 2020; 121: 533 doi: 10.1007/978-981-15-3369-3_40
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19 |
Pratibha Rani, Arunodaya Raj Mishra, Abbas Mardani. An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for type 2 diabetes. Applied Soft Computing 2020; 94: 106441 doi: 10.1016/j.asoc.2020.106441
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20 |
Kanyarat Bussaban, Kanyarat Bussaban, Nareenart Ruksuntorn, Jaruwan Chutrtong, Chanyapat Sangsuwan. Development of a Healthcare Monitoring Diabetes Mobile Application for Community. WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 2022; 19: 222 doi: 10.37394/23208.2022.19.24
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